We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Abstract. An important architectural style for constructing enterprise applications is to use transactional workflows in SOA. In this setting, workflow activities invoke distribute...
Olaf Zimmermann, Jonas Grundler, Stefan Tai, Frank...
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Sensitivity analyses have long been used to assess the impacts of uncertainties on outcomes of decision models. Several approaches have been suggested, but it has been problematic...
Interactive history tools, ranging from basic undo and redo to branching timelines of user actions, facilitate iterative forms of interaction. In this paper, we investigate the des...
Jeffrey Heer, Jock D. Mackinlay, Chris Stolte, Man...